#software engineering career
231 related articles
·2 min
Harness Engineering: An Advanced Methodology for Programmers to Master AI Coding
From prompt engineering to context engineering to Harness engineering, this article breaks down the three evolutions of AI coding and offers engineering solutions to pain points like hallucinations, non-standard code, and infinite loops.
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·2 min
The Age of AI Coding: Why Tinkering Engineers Are Worth More Than Ever
Claude Code creator Boris and developer Theo reveal: in the AI Agent era, tinkering habits like automation, building small tools, and writing CLAUDE.md are becoming the core edge for reaching Staff engineer level.
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·2 min
6 High-Paying AI Career Paths: A Beginner's Shortcut and Salary Guide
A breakdown of the 6 best high-paying AI career paths for beginners: LLM application development, AI agents, computer vision, AI infrastructure, AIGC, and embodied AI—with salary ranges, core skills, and who they suit.
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·5 min
DeepSeek's Liang Wenfeng Investor Meeting: Restrained Pricing and the AGI Roadmap Explained
An analysis of DeepSeek's Liang Wenfeng 4-hour investor meeting: restrained pricing with 10-month payback, why open source doesn't hurt revenue, the Agent–continual learning–self-iteration AGI roadmap, plus domestic chips, talent, and your moat.
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·5 min
The DeepSeek Investor Q&A with Liang Wenfeng: Decoding Restrained Pricing and the AGI Roadmap
Decoding DeepSeek's Liang Wenfeng 4-hour investor Q&A: 10-month-payback restrained pricing, why open source doesn't hurt revenue, the Agent-continual learning-self-iteration AGI roadmap, plus domestic chips, talent, and your moat.
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·5 min
Why Are China's Open-Source AI Models Getting Stronger? A Deep Dive Into Three Comeback Strategies
Facing US chip bans and closed-source monopoly, how do China's open-source AI models keep fighting back? A deep dive into three core paths: open-source pricing games, optical interconnect positioning, and on-device scenarios.
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·5 min
Why Are China's Open-Source AI Models Getting Stronger? A Deep Dive into Three Comeback Paths
Facing US chip bans and closed-source monopolies, how do China's open-source AI models keep striking back? A deep dive into three core paths: open-source pricing-power games, optical interconnect positioning, and edge-side use cases.
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·4 min
Do Cursor Promo Codes Still Work? A Developer's Guide to Saving on AI Coding Tools
Are Cursor referral codes and discount codes still valid? This guide analyzes Cursor's pricing model, promotional policy trends, and practical savings strategies including annual billing, education discounts, and competitor comparisons.
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·8 min
A Complete Guide to Agent Testing: Five Core Dimensions and Automation in Practice
In-depth analysis of the five core dimensions of AI Agent testing: command safety, tool-calling accuracy, task planning, output consistency, and error self-repair. Master automated testing and the transition path for test engineers.
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·8 min
The Complete Guide to Agent Testing: Five Core Dimensions and Automation in Practice
An in-depth analysis of the five core dimensions of AI Agent testing: command safety, tool-calling accuracy, task planning, output consistency, and error self-repair. Master automated testing methods and the transition path for test engineers.
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·2 min
How to Choose a Programming Language? A Rational Look at the Truth Behind Language Selection
Java, Python, Go, or a niche language? This article rationally analyzes programming language selection across three dimensions — probability, difficulty, and growth potential — to help you escape language-choice anxiety.
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·7 min
The Complete Guide to LLM Application Engineer Interviews: Six High-Frequency Topics in the Agent Domain
A focused guide to the core interview topics for LLM application engineers, covering agent architecture, Multi-Agent, Langfuse evaluation & tracing, security, and RAG optimization.
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·7 min
The Complete Guide to LLM Application Engineer Interviews: Six High-Frequency Agent Topics
A focused guide to core LLM application engineer interview topics, covering agent architecture, Multi-Agent, Langfuse evaluation, security, and RAG optimization.
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·2 min
Full-Stack Developer to AI Engineer: Which Certifications Actually Matter?
Full-stack developer transitioning to AI/ML? Compare Google, AWS, and Microsoft AI certifications, understand the two career paths, and learn what actually matters.
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·4 min
How Engineers Can Avoid Becoming Mere Code Reviewers in the AI Era: Addy Osmani's Answer
Google's Addy Osmani at AI Engineer conference: as AI agents outpace human review, engineers' core value lies in the "verdict" — deciding what's worth building and owning outcomes.
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CS Self-Study Guide: The 74K-Star Comp…
·2 min
CS Self-Study Guide: The 74K-Star Computer Science Learning Roadmap
A 74K-star GitHub project by Peking University students curates MIT, Stanford, and CMU open courses into a complete CS self-study roadmap covering algorithms, OS, databases, and more.
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·3 min
Vibe Coding in Practice: Building Your Core Competitive Edge with AI-Assisted Development
Vibe Coding is a new AI-era programming paradigm focused on logic over syntax. Use Claude Code, Cursor, and LangChain to ship products solo and 10x your productivity.
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·2 min
ROS2 for Beginners: The Essential Framework for Robot Development
A complete introduction to ROS2 for beginners: what ROS is, how ROS1 and ROS2 differ, and how to choose the right version to kickstart your robot development journey.
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·3 min
AI Toolchain-Driven Development: A Guide to Rebuilding Programmer Core Competencies
AI is driving software development's third tool revolution. Explore how MasterGo AI, Cursor, and similar tools span design to code, and learn the future competitiveness formula: full-stack skills + AI proficiency + real-world experience.
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·2 min
Which Coursera Advanced AI Courses Are Worth as Much as an Internship? Top Picks
Can online courses replace internships? We break down the real value of MLOps, Generative AI, and Deep Learning courses on Coursera, plus 3 strategies to get internship-level results.
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